Fe–Cu Alloy Nanozymes with Enhanced Oxidase-Like Activity for Multiplex Antioxidant Detection

Single-atom iron catalysts have emerged as promising mimics of oxidases; however, strategies to enhance their intrinsic catalytic activity remain underexplored. Herein, waste pitch and eggshells are utilized for fabricating high-performance nanozymes by coloading nanocopper and iron single atoms onto nitrogen-doped carbon nanotubes (Fe/Cu@NCNTs). It has been demonstrated that copper nanoparticles serve as a critical modulator, electronically tuning the iron sites, which increases the Fe2+/Fe3+ ratio and promotes the formation of Fe–Cu nanoalloys. These synergistic effects significantly enhance the oxidase-like activity of the catalyst. The optimized Fe/Cu@NCNTs exhibit a 48.7% higher specific activity and superior substrate affinity compared with the Fe@NCNTs counterpart. Leveraging this enhanced catalytic performance, a smartphone-assisted colorimetric sensing platform was developed for the rapid visual detection of multiple analytes. Furthermore, by incorporating a three-channel sensor array (TMB, ABTS, and OPD) with pattern recognition analysis, the platform accurately discriminates between nine antioxidants at concentrations as low as 10 μM. This work not only provides valuable insight into the mechanistic role of copper in enhancing the oxidase-like activity of iron single-atom catalysts but also offers a versatile and high-throughput sensing platform that advances the application of nanozymes in complex sample analysis.

Authors

Institutions

Publication Details

Journal
ACS Applied Nano Materials
Published
2026-02-03
DOI
https://doi.org/10.1021/acsanm.5c05421
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fe–Cu Alloy Nanozymes with Enhanced Oxidase-Like Activity for Multiplex Antioxidant Detection

Yi Liu, Yan-Yan Yu, Ying He, Yunying Wang
ACS Applied Nano Materials
Advanced Nanomaterials in Catalysis
article

Fe–Cu Alloy Nanozymes with Enhanced Oxidase-Like Activity for Multiplex Antioxidant Detection

Yi Liu, Yan-Yan Yu, Ying He, Yunying Wang
article en

Abstract

Single-atom iron catalysts have emerged as promising mimics of oxidases; however, strategies to enhance their intrinsic catalytic activity remain underexplored. Herein, waste pitch and eggshells are utilized for fabricating high-performance nanozymes by coloading nanocopper and iron single atoms onto nitrogen-doped carbon nanotubes (Fe/Cu@NCNTs). It has been demonstrated that copper nanoparticles serve as a critical modulator, electronically tuning the iron sites, which increases the Fe2+/Fe3+ ratio and promotes the formation of Fe–Cu nanoalloys. These synergistic effects significantly enhance the oxidase-like activity of the catalyst. The optimized Fe/Cu@NCNTs exhibit a 48.7% higher specific activity and superior substrate affinity compared with the Fe@NCNTs counterpart. Leveraging this enhanced catalytic performance, a smartphone-assisted colorimetric sensing platform was developed for the rapid visual detection of multiple analytes. Furthermore, by incorporating a three-channel sensor array (TMB, ABTS, and OPD) with pattern recognition analysis, the platform accurately discriminates between nine antioxidants at concentrations as low as 10 μM. This work not only provides valuable insight into the mechanistic role of copper in enhancing the oxidase-like activity of iron single-atom catalysts but also offers a versatile and high-throughput sensing platform that advances the application of nanozymes in complex sample analysis.

ACS Applied Nano MaterialsVol. 9(6)
Beijing University of Chemical Technology (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Advanced Nanomaterials in Catalysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.